Senior AWS EDAHPC Architect & SME Remote
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Monthly Salary:
Experience Required:
Posted on:
9 hours ago
Vacancies:
1 Vacancy
Job Summary
Senior AWS EDA/HPC Architect & SME - Remote
Key Responsibilities
Architect and implement end-to-end AWS HPC/EDA environments including compute storage networking and licensing infrastructure optimized for large-scale design simulation and verification.
Lead cloud migration initiatives for on-premises EDA workloads to AWS using services such as AWS ParallelCluster FSx for Lustre EFA-enabled EC2 and AWS Batch.
Design cost-efficient architectures leveraging Spot Instances Auto Scaling and elastic file systems for dynamic simulation environments.
Integrate automation and DevOps pipelines using CloudFormation Terraform AWS CDK and CI/CD tools for repeatable and compliant deployments.
Collaborate with semiconductor design teams to tune and benchmark workloads (timing analysis simulation emulation verification etc.) for optimal performance on AWS.
Advise on data management strategies for high-throughput EDA workflows including S3 lifecycle policies hybrid storage (FSx EBS EFS) and data lakes for results analytics.
Implement and enforce AWS security identity and compliance best practices (IAM VPC isolation PrivateLink encryption data residency).
Work closely with vendors and partners (e.g. Synopsys Cadence Siemens) to validate tool performance and ensure license server integration on AWS.
Provide subject matter expertise in HPC job schedulers (Slurm PBS LSF) cluster orchestration and cloud-native workload management.
Mentor engineering and DevOps teams establish best practices and contribute to reusable architectures and playbooks across global projects.
Required Qualifications
10 years of experience in HPC or EDA architecture systems engineering or cloud infrastructure roles.
5 years of hands-on experience designing AWS-based HPC or semiconductor design environments.
Deep expertise with EDA tools (Synopsys Cadence Siemens Ansys) and understanding of parallel and distributed compute optimization.
Proficiency with AWS core services: EC2 S3 EFS FSx for Lustre Batch Lambda CloudFormation CloudWatch IAM and VPC.
Strong scripting and automation experience (Python Bash Terraform or CDK).
Solid understanding of networking storage performance tuning and job scheduling systems (Slurm Grid Engine PBS Pro LSF).
Experience implementing secure compliant multi-account architectures with Control Tower Organizations and Service Catalog.
Proven ability to interface with engineering teams and executives translating complex technical challenges into business solutions.
Preferred Qualifications
AWS Certified Solutions Architect Professional or Advanced Networking Specialty.
Experience integrating EDA workloads with data analytics or ML pipelines on AWS (e.g. SageMaker EMR Glue).
Familiarity with chip design lifecycle workflows (RTL synthesis verification sign-off P&R DFT).
Experience supporting hybrid cloud architectures and HPC burst-to-cloud strategies.
Background in Semiconductor Aerospace or High-Tech industries a plus.
Required Skills:
SME to Lead the architecture design and optimization of scalable (HPC) and EDA workloads on AWS The Senior AWS EDA (Electronic Design Automation) Architect & Subject Matter Expert will lead the architecture design and optimization of scalable high-performance compute (HPC) and EDA workloads on AWS. This role bridges semiconductor design engineering and cloud infrastructurehelping clients modernize their chip design workflows reduce simulation runtimes and optimize cost-performance at scale. The architect will serve as a strategic advisor to both engineering and IT leadership ensuring secure automated and efficient cloud deployments tailored to EDA workloads such as Synopsys Cadence Siemens and Ansys. Key Responsibilities Architect and implement end-to-end AWS HPC/EDA environments including compute storage networking and licensing infrastructure optimized for large-scale design simulation and verification. Lead cloud migration initiatives for on-premises EDA workloads to AWS using services such as AWS ParallelCluster FSx for Lustre EFA-enabled EC2 and AWS Batch. Design cost-efficient architectures leveraging Spot Instances Auto Scaling and elastic file systems for dynamic simulation environments. Integrate automation and DevOps pipelines using CloudFormation Terraform AWS CDK and CI/CD tools for repeatable and compliant deployments. Collaborate with semiconductor design teams to tune and benchmark workloads (timing analysis simulation emulation verification etc.) for optimal performance on AWS. Advise on data management strategies for high-throughput EDA workflows including S3 lifecycle policies hybrid storage (FSx EBS EFS) and data lakes for results analytics. Implement and enforce AWS security identity and compliance best practices (IAM VPC isolation PrivateLink encryption data residency). Work closely with vendors and partners (e.g. Synopsys Cadence Siemens) to validate tool performance and ensure license server integration on AWS. Provide subject matter expertise in HPC job schedulers (Slurm PBS LSF) cluster orchestration and cloud-native workload management. Mentor engineering and DevOps teams establish best practices and contribute to reusable architectures and playbooks across global projects. Required Qualifications 10 years of experience in HPC or EDA architecture systems engineering or cloud infrastructure roles. 5 years of hands-on experience designing AWS-based HPC or semiconductor design environments. Deep expertise with EDA tools (Synopsys Cadence Siemens Ansys) and understanding of parallel and distributed compute optimization. Proficiency with AWS core services: EC2 S3 EFS FSx for Lustre Batch Lambda CloudFormation CloudWatch IAM and VPC. Strong scripting and automation experience (Python Bash Terraform or CDK). Solid understanding of networking storage performance tuning and job scheduling systems (Slurm Grid Engine PBS Pro LSF). Experience implementing secure compliant multi-account architectures with Control Tower Organizations and Service Catalog. Proven ability to interface with engineering teams and executives translating complex technical challenges into business solutions. Preferred Qualifications AWS Certified Solutions Architect Professional or Advanced Networking Specialty. Experience integrating EDA workloads with data analytics or ML pipelines on AWS (e.g. SageMaker EMR Glue). Familiarity with chip design lifecycle workflows (RTL synthesis verification sign-off P&R DFT). Experience supporting hybrid cloud architectures and HPC burst-to-cloud strategies. Background in Semiconductor Aerospace or High-Tech industries a plus.
Required Education:
Masters preferred
Company Industry
IT Services and IT Consulting
Key Skills
- Apache Hive
- S3
- Redshift
- Spark
- AWS
- Solr
- NoSQL
- Data Warehouse
- Internet Of Things
- Kafka
- DynamoDB
- ZooKeeper
